Driven by the awareness of the full environmental impact of fossil fuel mass consumption, the world is gradually transitioning to sustainable energy sources to eventually eliminate CO2 emissions. Inspired by this, we seek to develop an inexpensive photocatalytic system composed of earth-abundant organic polymer semiconductor and molecular cocatalysts that is capable of utilizing the energy […]

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University […]

Regular physical activity is essential for optimal physical and mental health however the majority of Canadians aren’t meeting physical activity recommendations. The ParticipACTION app aims to assist Canadians in becoming more active and the purpose of this research program is to enhance the app’s impact by informing it with the Multi-Process Action Control (M-PAC) Framework. […]

While quantum computers in theory can solve problems exponentially faster than conventional computers, in practise they are quite challenging to build. One of the main problems facing the technology used by D-Wave, IBM, and google is the presence of flux noise. The current project aims to understand the origin of flux noise in D-Wave’s superconductor-based […]

This project will investigate how software developers work with structured information. It will use information about that interaction to improve tools needed by developers. It will assess whether those tools improve the productivity of software developers. The project will also compare the access patterns of users of business intelligence applications to those of developers to […]

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]

The Stó:lo Indigenous Foodways Co-Lab (part of the Just Transitions in Food Systems Network) is a community-based research project examining the relationship agri-food transitions and traditional food systems resurgence in the context of the Fraser Valley in British Columbia Canada. This project will create a dialogue space to raise and address questions about what changes […]

Vaccines are one of the most effective methods for protection against life-threatening infections such as hepatitis B. Due to the difficulties associated with extensive clinical trials on younger population groups such as infants and newborns, vaccine research is primarily conducted on adults. Therefore, there is a significant gap in our current knowledge of early-life immune […]

Typical forests in Canada were used to qualitatively and quantitatively study atmospheric environmental factors and plant therapy characteristics The relationship between negative oxygen ion concentration and phytoncides and the environmental factors was analysed by means of path analysis and regression analysis. Biotic and abiotic factors affecting the release of phytoncides are studied, and their effects […]

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations currently requires a considerable amount of human effort to match the text with a GIS or other mapping system. This becomes especially challenging when the same place name is represented by multiple places, such as in the naming […]

The constraint satisfaction problem (CSP) is one of the classical problems studied in Theoretical Computer Science and asks for an assignment of values to variables such that given constraints are satisfied. The CSP includes as special cases for example graph coloring and Boolean satisfiability. Besides its theoretical importance, it has applications in many different domains, […]

Failure in pipelines may have financial and life-threatening consequences. High-quality weld joints in pipelines can avoid these consequences and improve the company’s productivity and reputation. To improve the weld quality, an efficient solution is to detect the defects. A collaboration of human and robots can provide an accurate, robust defect detection system. This system requires […]